Pillow

Python Imaging Library (Fork)

Project description

Python Imaging Library (Fork)

Pillow is the friendly PIL fork by Alex Clark and Contributors. PIL is the Python Imaging Library by Fredrik Lundh and Contributors. As of 2019, Pillow development is supported by Tidelift.

docs
tests
package
social

More Information

Report a Vulnerability

To report a security vulnerability, please follow the procedure described in the Tidelift security policy.

Project details

Release history Release notifications

This version

7.0.0

Jan 2, 2020

6.2.2

Jan 2, 2020

6.2.1

Oct 21, 2019

6.2.0

Oct 1, 2019

6.1.0

Jul 3, 2019

6.0.0

Apr 2, 2019

5.4.1

Jan 6, 2019

5.4.0

Jan 1, 2019

5.4.0.dev0 pre-release

Jan 1, 2019

5.3.0

Oct 1, 2018

5.2.0

Jul 1, 2018

5.1.0

Apr 2, 2018

5.0.0

Jan 1, 2018

4.3.0

Oct 2, 2017

4.2.1

Jul 6, 2017

4.2.0

Jul 1, 2017

4.1.1

Apr 28, 2017

4.1.0

Apr 4, 2017

4.0.0

Jan 2, 2017

3.4.2

Oct 18, 2016

3.4.1

Oct 4, 2016

3.4.0

Oct 3, 2016

3.3.3

Oct 4, 2016

3.3.2

Oct 3, 2016

3.3.1

Aug 18, 2016

3.3.0

Jul 1, 2016

3.2.0

Apr 1, 2016

3.1.2

Apr 1, 2016

3.1.1

Feb 4, 2016

3.1.0

Jan 4, 2016

3.1.0.rc1 pre-release

Jan 1, 2016

3.1.0rc1 pre-release

Jan 2, 2016

3.0.0

Oct 1, 2015

2.9.0

Jul 1, 2015

2.8.2

Jun 7, 2015

2.8.1

Apr 2, 2015

2.8.0

Apr 1, 2015

2.7.0

Jan 1, 2015

2.6.2

Jan 1, 2015

2.6.1

Oct 13, 2014

2.6.0

Oct 1, 2014

2.5.3

Aug 18, 2014

2.5.2

Aug 13, 2014

2.5.1

Jul 10, 2014

2.5.0

Jul 1, 2014

2.4.0

Apr 1, 2014

2.3.2

Aug 13, 2014

2.3.1

Mar 15, 2014

2.3.0

Jan 1, 2014

2.2.2

Dec 16, 2013

2.2.1

Oct 2, 2013

2.2.0

Oct 2, 2013

2.1.0

Jul 2, 2013

2.0.0

Mar 15, 2013

1.7.8

Nov 1, 2012

1.7.7

Apr 5, 2012

1.7.6

Jan 21, 2012

1.7.5

Sep 7, 2011

1.7.4

Jul 21, 2011

1.7.3

Jul 21, 2011

1.7.2

Jun 2, 2011

1.7.1

May 31, 2011

1.7.0

May 28, 2011

1.6

Dec 1, 2010

1.5

Nov 28, 2010

1.4

Nov 28, 2010

1.3

Nov 28, 2010

1.2

Aug 2, 2010

1.1

Aug 1, 2010

1.0

Jul 31, 2010

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for Pillow, version 7.0.0
Filename, size	File type	Python version	Upload date	Hashes
Filename, size Pillow-7.0.0-cp35-cp35m-macosx_10_6_intel.whl (4.0 MB)	File type Wheel	Python version cp35	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-cp35-cp35m-manylinux1_i686.whl (2.0 MB)	File type Wheel	Python version cp35	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-cp35-cp35m-manylinux1_x86_64.whl (2.1 MB)	File type Wheel	Python version cp35	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-cp35-cp35m-win32.whl (1.7 MB)	File type Wheel	Python version cp35	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-cp35-cp35m-win_amd64.whl (2.0 MB)	File type Wheel	Python version cp35	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-cp36-cp36m-macosx_10_6_intel.whl (4.0 MB)	File type Wheel	Python version cp36	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-cp36-cp36m-manylinux1_i686.whl (2.0 MB)	File type Wheel	Python version cp36	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-cp36-cp36m-manylinux1_x86_64.whl (2.1 MB)	File type Wheel	Python version cp36	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-cp36-cp36m-win32.whl (1.7 MB)	File type Wheel	Python version cp36	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-cp36-cp36m-win_amd64.whl (2.0 MB)	File type Wheel	Python version cp36	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-cp37-cp37m-macosx_10_6_intel.whl (3.9 MB)	File type Wheel	Python version cp37	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-cp37-cp37m-manylinux1_i686.whl (2.0 MB)	File type Wheel	Python version cp37	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-cp37-cp37m-manylinux1_x86_64.whl (2.1 MB)	File type Wheel	Python version cp37	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-cp37-cp37m-win32.whl (1.8 MB)	File type Wheel	Python version cp37	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-cp37-cp37m-win_amd64.whl (2.0 MB)	File type Wheel	Python version cp37	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-cp38-cp38-macosx_10_9_x86_64.whl (2.1 MB)	File type Wheel	Python version cp38	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-cp38-cp38-manylinux1_i686.whl (2.0 MB)	File type Wheel	Python version cp38	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-cp38-cp38-manylinux1_x86_64.whl (2.1 MB)	File type Wheel	Python version cp38	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-cp38-cp38-win32.whl (1.8 MB)	File type Wheel	Python version cp38	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-cp38-cp38-win_amd64.whl (2.0 MB)	File type Wheel	Python version cp38	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0-pp373-pypy36_pp73-win32.whl (1.7 MB)	File type Wheel	Python version pp373	Upload date Jan 2, 2020	Hashes View hashes
Filename, size Pillow-7.0.0.tar.gz (38.2 MB)	File type Source	Python version None	Upload date Jan 2, 2020	Hashes View hashes

Hashes for Pillow-7.0.0-cp35-cp35m-macosx_10_6_intel.whl

Hashes for Pillow-7.0.0-cp35-cp35m-macosx_10_6_intel.whl
Algorithm	Hash digest
SHA256	`5f3546ceb08089cedb9e8ff7e3f6a7042bb5b37c2a95d392fb027c3e53a2da00`
MD5	`fc265586afd123b09d958cbabcc6cdef`
BLAKE2-256	`750d4d112761a257fd15729d09f71153674cc9202f454fba4f29850d919af1ad`

Hashes for Pillow-7.0.0-cp35-cp35m-manylinux1_i686.whl

Hashes for Pillow-7.0.0-cp35-cp35m-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`9d2ba4ed13af381233e2d810ff3bab84ef9f18430a9b336ab69eaf3cd24299ff`
MD5	`4589291461645a5c0cdf6f2904f2f5df`
BLAKE2-256	`5172b442f78f3d0003885aaf7144b7f26e103a21f29b1c574df68fd1e4ff543e`

Hashes for Pillow-7.0.0-cp35-cp35m-manylinux1_x86_64.whl

Hashes for Pillow-7.0.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`ff3797f2f16bf9d17d53257612da84dd0758db33935777149b3334c01ff68865`
MD5	`1cbcb9d265f25921b2227dc0ea7cd948`
BLAKE2-256	`c642fdaf9b53942b103462db3d843c5bc3eb660f9b2e58419ebc99ed87d93dd2`

Hashes for Pillow-7.0.0-cp35-cp35m-win32.whl

Hashes for Pillow-7.0.0-cp35-cp35m-win32.whl
Algorithm	Hash digest
SHA256	`c18f70dc27cc5d236f10e7834236aff60aadc71346a5bc1f4f83a4b3abee6386`
MD5	`bec8724b25dd4aab6f3fda947e77cfd6`
BLAKE2-256	`6c4d24927160d3e144c2e932ec1d1b39ebbb7396c2741c75691493f474cd0618`

Hashes for Pillow-7.0.0-cp35-cp35m-win_amd64.whl

Hashes for Pillow-7.0.0-cp35-cp35m-win_amd64.whl
Algorithm	Hash digest
SHA256	`875358310ed7abd5320f21dd97351d62de4929b0426cdb1eaa904b64ac36b435`
MD5	`2cc90f0af6f4ee58b0c5f86fda109a87`
BLAKE2-256	`24ab0fcfd4690d15eb8039a278b173fac2ede5d4139998195a6de3dd370399f4`

Hashes for Pillow-7.0.0-cp36-cp36m-macosx_10_6_intel.whl

Hashes for Pillow-7.0.0-cp36-cp36m-macosx_10_6_intel.whl
Algorithm	Hash digest
SHA256	`ab76e5580b0ed647a8d8d2d2daee170e8e9f8aad225ede314f684e297e3643c2`
MD5	`1591a821a8bb36e95f9dd2d04ca4a63f`
BLAKE2-256	`c33a1cb999d3f9311f9b7c6387b81ec7b5373d50ef031b957994898e59697c18`

Hashes for Pillow-7.0.0-cp36-cp36m-manylinux1_i686.whl

Hashes for Pillow-7.0.0-cp36-cp36m-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`a62ec5e13e227399be73303ff301f2865bf68657d15ea50b038d25fc41097317`
MD5	`60b3e7b591726371eccb55fc97f60b65`
BLAKE2-256	`8fbe8807c3ae774a2f1a155109c42d74318b40db020feb74fcbf56d086518e92`

Hashes for Pillow-7.0.0-cp36-cp36m-manylinux1_x86_64.whl

Hashes for Pillow-7.0.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`8ac6ce7ff3892e5deaab7abaec763538ffd011f74dc1801d93d3c5fc541feee2`
MD5	`d6b8c53d8e1b4c045d95827aa4c028f3`
BLAKE2-256	`195e23dcc0ce3cc2abe92efd3cd61d764bee6ccdf1b667a1fb566f45dc249953`

Hashes for Pillow-7.0.0-cp36-cp36m-win32.whl

Hashes for Pillow-7.0.0-cp36-cp36m-win32.whl
Algorithm	Hash digest
SHA256	`91b710e3353aea6fc758cdb7136d9bbdcb26b53cefe43e2cba953ac3ee1d3313`
MD5	`bdba8473d1fba197be9d5cc4356c197b`
BLAKE2-256	`a556f120642d7f5c5874b83885b0eece9530f7022a908058f4aa1b681aa3ac3e`

Hashes for Pillow-7.0.0-cp36-cp36m-win_amd64.whl

Hashes for Pillow-7.0.0-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`bf598d2e37cf8edb1a2f26ed3fb255191f5232badea4003c16301cb94ac5bdd0`
MD5	`383968410a6580d4a35be86672671249`
BLAKE2-256	`444b78226761e8ce14686fa7fa834c357d5b0a933d7485955b716fab3071f7e5`

Hashes for Pillow-7.0.0-cp37-cp37m-macosx_10_6_intel.whl

Hashes for Pillow-7.0.0-cp37-cp37m-macosx_10_6_intel.whl
Algorithm	Hash digest
SHA256	`5bfef0b1cdde9f33881c913af14e43db69815c7e8df429ceda4c70a5e529210f`
MD5	`d6f2ffbb19a06e6396a7e06736d16f6d`
BLAKE2-256	`0c43b52847e473ac6cbd10a749b63018b2bb08b55c6e1a1923872361443906de`

Hashes for Pillow-7.0.0-cp37-cp37m-manylinux1_i686.whl

Hashes for Pillow-7.0.0-cp37-cp37m-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`dc058b7833184970d1248135b8b0ab702e6daa833be14035179f2acb78ff5636`
MD5	`b89fc8abf06c8763be0377795101aebe`
BLAKE2-256	`93ae73bcf26bdaa07fbda9939544cd64bd530254d2237ae92e1ec903ef294ab6`

Hashes for Pillow-7.0.0-cp37-cp37m-manylinux1_x86_64.whl

Hashes for Pillow-7.0.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`c5ed816632204a2fc9486d784d8e0d0ae754347aba99c811458d69fcdfd2a2f9`
MD5	`06dba3d3e1172882fe669108939a2d88`
BLAKE2-256	`f579b2d5695d1a931474fa68b68ec93bdf08ba9acbc4d6b3b628eb6aac81d11c`

Hashes for Pillow-7.0.0-cp37-cp37m-win32.whl

Hashes for Pillow-7.0.0-cp37-cp37m-win32.whl
Algorithm	Hash digest
SHA256	`54ebae163e8412aff0b9df1e88adab65788f5f5b58e625dc5c7f51eaf14a6837`
MD5	`6791bc8794df754ff3e8e62f34a8a912`
BLAKE2-256	`a7eec375e9e4598ec3cf58c3ad645ac98e6f5356d71d3bbe07590d568d907fd5`

Hashes for Pillow-7.0.0-cp37-cp37m-win_amd64.whl

Hashes for Pillow-7.0.0-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`87269cc6ce1e3dee11f23fa515e4249ae678dbbe2704598a51cee76c52e19cda`
MD5	`96fb131af2e21ec42f4515e661162ef5`
BLAKE2-256	`886b66f502b5ea615f69433ae1e23ec786b2cdadbe41a5cfb1e1fabb4f9c6ce9`

Hashes for Pillow-7.0.0-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for Pillow-7.0.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`0a628977ac2e01ca96aaae247ec2bd38e729631ddf2221b4b715446fd45505be`
MD5	`edc55efa28bf269549d8a7ffa5ae11d7`
BLAKE2-256	`36fb420e42d696b096a3566fc0f47d9c7df8f2abec0faf13f913ba217233e06b`

Hashes for Pillow-7.0.0-cp38-cp38-manylinux1_i686.whl

Hashes for Pillow-7.0.0-cp38-cp38-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`62a889aeb0a79e50ecf5af272e9e3c164148f4bd9636cc6bcfa182a52c8b0533`
MD5	`f1300352712e41a40f89e081c8e12f54`
BLAKE2-256	`24f40e8af3583e27965f74c4dc8d5cb89ba41fa882a8ea9513ab612d15c8f0c4`

Hashes for Pillow-7.0.0-cp38-cp38-manylinux1_x86_64.whl

Hashes for Pillow-7.0.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`bf4003aa538af3f4205c5fac56eacaa67a6dd81e454ffd9e9f055fff9f1bc614`
MD5	`c0fbd1d52acc6386a2292b0e5763b1eb`
BLAKE2-256	`1a6ae944b190abffe5272a571084bc2fc59bb9051abea7f6720c36662d47c0e0`

Hashes for Pillow-7.0.0-cp38-cp38-win32.whl

Hashes for Pillow-7.0.0-cp38-cp38-win32.whl
Algorithm	Hash digest
SHA256	`7406f5a9b2fd966e79e6abdaf700585a4522e98d6559ce37fc52e5c955fade0a`
MD5	`80f74bbcf74ffe4a5840419726f77406`
BLAKE2-256	`a0f5943da9f188d1abdbd83f73dfba7ed8c1935161e8f9b4ef6fc9cea0b3e14b`

Hashes for Pillow-7.0.0-cp38-cp38-win_amd64.whl

Hashes for Pillow-7.0.0-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`5f7ae9126d16194f114435ebb79cc536b5682002a4fa57fa7bb2cbcde65f2f4d`
MD5	`77d7617666384ca6614eb7e267d1f36c`
BLAKE2-256	`a9a7f1e4261b3968dcb02330257f8b62dbe35ef582aceb610f6347da34dffbb1`

Hashes for Pillow-7.0.0-pp373-pypy36_pp73-win32.whl

Hashes for Pillow-7.0.0-pp373-pypy36_pp73-win32.whl
Algorithm	Hash digest
SHA256	`8453f914f4e5a3d828281a6628cf517832abfa13ff50679a4848926dac7c0358`
MD5	`c94914ac3ed89dcb7e30c2152ce9fed3`
BLAKE2-256	`7961596d80ef903dde391286e8730d4df754cb2fbe6cd2d47574cb1ea6e0ba8e`

Hashes for Pillow-7.0.0.tar.gz

Hashes for Pillow-7.0.0.tar.gz
Algorithm	Hash digest
SHA256	`4d9ed9a64095e031435af120d3c910148067087541131e82b3e8db302f4c8946`
MD5	`d099946335c1ba372f5b1fa68ca71645`
BLAKE2-256	`3947f28067b187dd664d205f75b07dcc6e0e95703e134008a14814827eebcaab`